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- AI Automation Workflow Builder Skill
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AI Automation Workflow Builder Skill
Convert manual business processes into technical automation blueprints for no-code and API integrations.
$49.99
AI Automation Workflow Builder Skill
Example session with this skill installed
I manually copy lead data from Typeform to HubSpot and then notify the team in Slack. It takes too long and I miss leads. We use the Pro plans for all three tools.
- Read your context and instructions
- Compiled the ai automation workflow
I have mapped your lead intake process. The current manual copying creates a high risk of data entry errors and delayed response times. Below is the technical blueprint to automate this via Make or Zapier.
Lead Intake Automation Blueprint
| Component | Detail |
|---|---|
| Trigger | New Entry in Typeform "Lead Gen 2024" |
| Filter | Check if "Email" is not empty and "Company Size" > 1 |
| Action 1 | Search HubSpot for existing Contact by Email |
| Logic | If Found: Update Contact; If Not Found: Create Contact |
| Action 2 | Create "New Lead" Deal in HubSpot Pipeline |
| Action 3 | Send Slack Message to #sales-alerts with Lead Summary |
Implementation Checklist
- Authentication: Connect Typeform, HubSpot, and Slack accounts using OAuth.
- Field Mapping: Map
Typeform.First_NametoHubSpot.firstnameandTypeform.EmailtoHubSpot.email. - Slack Formatting: Use a Block Kit template for the Slack alert to include a direct link to the HubSpot Deal URL.
Duplicate Logic: Configure the HubSpot "Search" step to prevent creating duplicate records for the same email address.
Test Plan
Test 1 (Success): Submit a valid Typeform entry. Result: Contact and Deal appear in HubSpot; Slack notification sent.
Test 2 (Duplicate): Submit an entry with an existing email. Result: HubSpot Contact updated, no new Contact created.
- Test 3 (Failure): Trigger with a missing email field. Result: Filter stops execution; no error logged in HubSpot.
Next steps
- Verify that your HubSpot API permissions allow "Write" access to Deals.
- Create a test private Slack channel to verify message formatting before going live.
- Set up a weekly log review to check for filtered-out entries.
Connects securely to your tools. The creator never sees your data.
About this skill
Manual business processes often leak time and revenue through repetitive data entry, handoff delays, and inconsistent execution. This skill converts vague descriptions of manual workflows into structured, technical blueprints for no-code or API-driven automation.
What it does
- Process Mapping identifies bottlenecks and handoffs in your current manual operations.
- Automation Assessment scores steps based on frequency, complexity, and failure impact.
- Workflow Design builds logic for triggers, conditions, and field mapping between platforms.
- Error Handling defines specific recovery paths for API failures, duplicates, and missing inputs.
- Implementation Planning generates technical checklists and test cases for deployment.
How it works
- Provide your current business process, desired outcome, and your existing tech stack.
- The agent identifies automation candidates and clarifies specific tool constraints.
- Review the generated technical blueprint including trigger/action tables and logic flows.
- Execute the implementation checklist and run the provided test cases to verify the setup.
Frameworks & tools
Works with no-code platforms like Zapier, Make, and n8n, as well as custom API integrations and webhook-based services.
Why this beats prompting it yourself
Standard prompts often ignore the "boring" parts of automation like rate limits, duplicate prevention, and failure recovery. This skill enforces a structured output contract that includes a maintenance plan and specific test cases for error states you might forget to prompt for.
Use cases
- Automating lead capture from a landing page to a CRM with specific filtering logic.
- Building a multi-step invoice approval flow between email, Slack, and accounting software.
- Syncing project management tasks across different departmental tools via webhooks.
- Creating a centralized reporting dashboard from disparate data sources.
Known limitations
Does not write the actual code or configure the apps; it provides the logic and instructions. Reliability depends on the external APIs of the tools you use.
Does not perform direct API calls or account configuration. Estimates of time savings are based on user-provided data and are not guaranteed performance metrics.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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